{"id":"W4250371082","doi":"10.1515/iupac.85.0525","title":"Ion Suppression","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; European commission; Standardization; Tandem mass spectrometry; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; Business; European union; Organic chemistry; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000167193,0.0003828813,0.0004336799,0.0001341661,0.0001272354,0.00005120849,0.0006063998,0.0005692958,0.1122698],"category_scores_gemma":[0.0001443564,0.0002838055,0.0001761744,0.0001449652,0.00008048912,0.00005042477,0.0002374956,0.0005444229,0.000004265781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003972242,"about_ca_system_score_gemma":0.0002279967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007509638,"about_ca_topic_score_gemma":0.00006564741,"domain_scores_codex":[0.9978902,0.00001512448,0.0004008437,0.0005458432,0.0007784117,0.0003695947],"domain_scores_gemma":[0.9979645,0.00006441728,0.0002770699,0.001333457,0.0002064098,0.0001541524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003576826,0.0001773438,0.000003614927,0.0001870614,0.00002887013,0.00001241954,0.00000105221,4.722352e-8,0.002808993,0.0001000118,0.9934636,0.003181213],"study_design_scores_gemma":[0.0003206077,0.00003547057,0.000001704679,0.0004596805,0.0000596162,0.0000116486,0.000004390502,0.000001948789,0.009073693,0.001233516,0.9884309,0.0003667944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000482099,0.0002414857,0.0001424559,0.0005970405,0.0001357047,0.0001152328,0.996142,0.0002602025,0.002317623],"genre_scores_gemma":[0.00009095413,0.001408482,0.0001505165,0.00006606612,0.001186212,0.00006485025,0.9947373,0.00004486593,0.002250742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1122656,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159829885522352,"score_gpt":0.3885764610425754,"score_spread":0.3769781621873519,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}